Publications

Sun, J., Z. Xu, H. Yin, D. Yang, D. Xu, Y. Liu, Z. Du, Y. Chen, and H. R. Roth. “FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.” In Proceedings of Machine Learning Research, 235:47159–73, 2024.

Chen, F., and Y. Chen. “An Interview with Dr. Nicky Lu [Interview].” IEEE Circuits and Systems Magazine 24, no. 1 (January 1, 2024): 6–12. https://doi.org/10.1109/MCAS.2023.3332200.

Ibrahim, M., Z. Wan, H. Li, P. Panda, T. Krishna, P. Kanerva, Y. Chen, and A. Raychowdhury. “Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective.” In Proceedings 2024 International Conference on Hardware Software Codesign and System Synthesis Codes Isss 2024, 11–20, 2024. https://doi.org/10.1109/CODES-ISSS60120.2024.00012.

Yang, H. F., Y. Zhao, J. Cai, M. Zhu, J. N. Hwang, and Y. Chen. “Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems.” In IEEE Intelligent Vehicles Symposium Proceedings, 633–38, 2024. https://doi.org/10.1109/IV55156.2024.10588805.

Gu, J., S. Vahidian, V. Kungurtsev, H. Wang, W. Jiang, Y. You, and Y. Chen. “Efficient Dataset Distillation via Minimax Diffusion.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 15793–803, 2024. https://doi.org/10.1109/CVPR52733.2024.01495.

Zhang, T., W. Wen, I. Fedorov, X. Liu, B. Zhang, F. Han, W. Y. Chen, et al. “DistDNAS: Search Efficient Feature Interactions within 2 Hours.” In Proceedings 2024 IEEE International Conference on Big Data Bigdata 2024, 1492–99, 2024. https://doi.org/10.1109/BigData62323.2024.10825061.

Zhang, J., S. Vahidian, M. Kuo, C. Li, R. Zhang, T. Yu, G. Wang, and Y. Chen. “TOWARDS BUILDING THE FEDERATEDGPT: FEDERATED INSTRUCTION TUNING.” In ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 6915–19, 2024. https://doi.org/10.1109/ICASSP48485.2024.10447454.

Huang, Q., H. Yang, E. Zeng, and Y. Chen. “A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation.” In Proceedings 2024 IEEE ACM Conference on Connected Health Applications Systems and Engineering Technologies Chase 2024, 109–19, 2024. https://doi.org/10.1109/CHASE60773.2024.00020.

Tang, M., A. Dai, L. DiValentin, A. Ding, A. Hass, N. Z. Gong, Y. Chen, and H. Li. “MODELGUARD: Information-Theoretic Defense Against Model Extraction Attacks.” In Proceedings of the 33rd Usenix Security Symposium, 5305–22, 2024.

Samudrala, S., J. Wu, C. Chen, H. Shan, J. Ku, Y. Chen, and J. Rajendran. “Performance Analysis of Zero-Knowledge Proofs.” In Proceedings 2024 IEEE International Symposium on Workload Characterization Iiswc 2024, 144–55, 2024. https://doi.org/10.1109/IISWC63097.2024.00022.

Wang, A., Q. Huang, and Y. Chen. “A Quantized Parsimonious CNN Model for Sleep Polysomnogram Data Streams.” In Proceedings 2024 IEEE ACM Conference on Connected Health Applications Systems and Engineering Technologies Chase 2024, 162–66, 2024. https://doi.org/10.1109/CHASE60773.2024.00027.

Duan, L., J. Sun, J. Jia, Y. Chen, and M. Gorlatova. “Reimagining Mutual Information for Defense against Data Leakage in Collaborative Inference.” In Advances in Neural Information Processing Systems, Vol. 37, 2024.

Inkawhich, M., N. Inkawhich, H. Yang, J. Zhang, R. Linderman, and Y. Chen. “OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery.” In Proceedings 2024 IEEE International Conference on Big Data Bigdata 2024, 928–37, 2024. https://doi.org/10.1109/BigData62323.2024.10826036.

Tang, M., J. Sun, H. H. Li, and Y. Chen. “Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI Isvlsi, 284–89, 2024. https://doi.org/10.1109/ISVLSI61997.2024.00059.

Zhao, W., H. H. Li, and D. Zito. “Outgoing Editorial.” IEEE Transactions on Circuits and Systems I Regular Papers 70, no. 12 (December 1, 2023): 4675–77. https://doi.org/10.1109/TCSI.2023.3337596.

Kim, B., and H. Li. “Monolithic 3D stacking for neural network acceleration.” Nature Electronics 6, no. 12 (December 1, 2023): 937–38. https://doi.org/10.1038/s41928-023-01098-5.

Li, H. H. “Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems'ISICAS 2023.” IEEE Transactions on Circuits and Systems I Regular Papers 70, no. 12 (December 1, 2023): 4678–4678. https://doi.org/10.1109/TCSI.2023.3331873.

Hanson, E., S. Li, G. Zhou, F. Cheng, Y. Wang, R. Bose, H. H. Li, and Y. Chen. “Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI.” In Proceedings of the 56th Annual IEEE ACM International Symposium on Microarchitecture Micro 2023, 972–85, 2023. https://doi.org/10.1145/3613424.3614278.

Gao, Z., Y. Chen, and T. Chen. “Swirls: Sniffing Wi-Fi Using Radios with Low Sampling Rates.” In Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing Mobihoc, 260–69, 2023. https://doi.org/10.1145/3565287.3610279.

Wang, Y., S. Li, Q. Zheng, A. Chang, H. Li, and Y. Chen. “EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference.” ACM Transactions on Embedded Computing Systems 22, no. 5 s (September 9, 2023). https://doi.org/10.1145/3609384.

Li, Hai, and Brady Taylor. “A Hardware and Software Co-design Framework for Energy Efficient Neuromorphic Systems.” Office of Scientific and Technical Information (OSTI), July 5, 2023. https://doi.org/10.2172/1985762.

Yang, X., H. Yang, J. R. Doppa, P. P. Pande, K. Chakrabartys, and H. Li. “ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 42, no. 7 (July 1, 2023): 2187–99. https://doi.org/10.1109/TCAD.2022.3216546.

Li, Z., Q. Zheng, Y. Chen, and H. Li. “SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons.” IEEE Transactions on Circuits and Systems II Express Briefs 70, no. 6 (June 1, 2023): 1876–80. https://doi.org/10.1109/TCSII.2023.3235888.

Zhang, T., D. Cheng, Y. He, Z. Chen, X. Dai, L. Xiong, F. Yan, H. Li, Y. Chen, and W. Wen. “NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.” In ACM Web Conference 2023 Proceedings of the World Wide Web Conference Www 2023, 1199–1207, 2023. https://doi.org/10.1145/3543507.3583446.

Joardar, B. K., J. R. Doppa, H. Li, K. Chakrabarty, and P. P. Pande. “ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs.” IEEE Transactions on Emerging Topics in Computing 11, no. 2 (April 1, 2023): 303–17. https://doi.org/10.1109/TETC.2022.3223630.